How do people make sense of data visualizations? The project explores how charts related to climate change and COVID-19 are created and understood by researchers and public audiences using perspectives and methods from Computer Science and Science & Technology Studies.
Visualizations are ubiquitous tools for communicating data, both within science and the popular media. Urgent messages with immediate effects on public life, i.e. the exponential growth of COVID-19, are often communicated via charts or diagrams. It is not clear whether public interpretations of these visualizations match the messages their creators aim to convey. The same is true for data visualizations in science; it is not a given that experts will interpret them the way they are intended.
How do visualization producers create, and consumers understand, the messages carried in visualizations? How do consumers come to trust or to distrust, to act on or to ignore them?
Talking charts is a mixed-methods project exploring how people encode, understand and engage with the messages (and implicit assumptions) communicated by data visualizations, particularly those focusing on COVID-19 and climate change. The project team, with expertise in computer science and science & technology studies, will study and work with members of two case studies: 1) journalists and their readership and 2) researchers in the natural sciences, to develop and co-create tools and guidelines facilitating visual data understanding. We take actual practices of visualization production and sensemaking as a starting point to inform and intervene into design, while at the same time seeking to foster dialogue between visualization producers and consumers.
We are happy to announce that Timothée Schmude's paper was accepted to the International Journal of Human-Computer Studies!
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Laura Koesten is Co-PI of this research project, which is exploring the impacts of different visualizations of climate change data.
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Laura Koesten and Kathleen Gregory recently conducted a workshop on "Human-Centered Data
Discovery" for the Data Curation Network.
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We are happy to share that Laura Koesten, PI of the Talking Charts project, has been
interviewed by Markus Hengstschläger about her work in the program Spontan gefragt.
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We are thrilled to share that Regina Schuster’s paper, titled “Being Simple on Complex
Issues” – Accounts on Visual Data Communication
about Climate Change, has been accepted for publication in the IEEE Transactions on
Visualization and Computer Graphics (TVCG) journal in 2024!
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On June 15th, Laura Lotteraner, Regina Schuster, and Judith Staudner hosted a workshop on
visualizing social media data at FMS im Zentrum, a public school in Vienna."
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On Sept. 01, 10:30 - 11:30 a.m., Jen Christiansen of Scientific American will give a talk on
"Special Considerations for Science Graphics (from a journalist's point of view)."
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info
Timothée Schmudes paper “On the Impact of Explanations on Understanding of Algorithmic
Decision-Making” was accepted at ACM FAccT 2023! On the 14th of June, Timothée will present
the paper at the conference’s venue in Chicago.
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more
Regina just presented her paper “'The main message is
that sustainability would help' -- Reflections on takeaway messages of climate change data
visualizations" at the CHI 2023 Workshop on HCI for Climate Change: Imagining Sustainable
Futures in Hamburg.
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more
We are looking for participants for our workshops!
More details (in German)
We are very pleased to announce that Christian Knoll has joined the Talking Charts project as a PhD candidate!
On September 21st we hosted our first Talking Charts Team Workshop.
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We are excited that Regina Schuster has joined our team as a PhD candidate!
On May 23rd Laura Koesten and Kathleen Gregory will be giving a talk on "Talking Charts: How
are everyday visualisations produced and understood?"
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out more
We are hiring for six exciting new PhD positions at the University of Vienna, Austria.
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to job posting
The Talking Charts project will be starting on the 1st of November 2021.
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We are happy that Kathleen Gregory has joined our team at the University of Vienna!
Laura Koesten is a Postdoc at the University of Vienna in the Research Group for Visualization and Data Analysis and an external researcher at King’s College London, UK. In her research, she is looking at ways to improve human-data interaction by studying sensemaking with data and visualisations, data discovery and reuse, as well as collaboration in data science. That means she researches how data is used, understood and presented by different user groups. She obtained her Ph.D. at the Open Data Institute in London and the University of Southampton, UK.
Kathleen Gregory is a postdoctoral researcher at the University of Vienna and a research fellow at the Scholarly Communications Lab at the University of Ottawa, Canada. She holds a PhD in in Science &Technology Studies and has a MSc in Library and Information Science and an MA in Education. Her research focuses on data practices and scholarly communication, examining how people manage, communicate, understand and use data in academia and public life.
Torsten Möller is a professor of computer science at the University of Vienna, Austria, since 2013. Between 1999 and 2012 he served as a Computing Science faculty member at Simon Fraser University, Canada. He received his PhD in Computer and Information Science from Ohio State University in 1999 and a Vordiplom (BSc) in mathematical computer science from Humboldt University of Berlin, Germany. He is a senior member of IEEE and ACM, and a member of Eurographics. His research interests include algorithms and tools for analyzing and displaying data with principles rooted in computer graphics, human-computer interaction, signal processing, data science, and visualization.
Sarah R. Davies is Professor of Technosciences, Materiality, & Digital Cultures at the Department of Science and Technology Studies, University of Vienna. Her work explores how science and society are co-produced – how society defines the conditions of scientific research, and how science is present in wider society. The ‘red thread’ of the digital and digitisation runs throughout. She has written about hackers and hackerspaces, how scientists experience the conditions of contemporary academia, and science communication formats such as science festivals or museums. Her recent work includes the books including Hackerspaces (2017, Polity), Science Communication (2016, Palgrave, with Maja Horst), and Exploring Science Communication (2020, SAGE, with Ulrike Felt).
Regina Schuster is a PhD student at the University of Vienna in the Research Group for
Visualization and Data Analysis. She obtained her MSc in Business Informatics at the
University of Vienna and her BSc in Business Administration and Human Resource Management
and Education at the Ludwig-Maximilians-Universität Munich. She is interested in how data
visualizations are used in everyday news sources and how people make sense of them.
Christian Knoll is a PhD student at the University of Vienna in the Research Group for Visualization and Data Analysis. His interest and research focus is on data visualization and human-computer interaction. In his prior interdisciplinary project, he explored, implemented and evaluated design options for visual analysis systems of high-dimensional data. He conducted several creative visualization-opportunities (CVO) workshops in which the design space of visualizations was explored in collaboration with domain experts.
Anne Marie Faisst is the administrative project manager of the Project and plays a key role in coordinating complexity of "Talking Charts" which explores how people interpret and engage with data visualizations. Anne Marie excels at managing the logistics, finances, and communications of the project, ensuring that all partners, including journalists and scientists, work seamlessly together. She also oversees the deployment and implementation of tools and guidelines that facilitate visual data understanding, making significant contributions to the project's success. She has extensive experience in project management within academic and scientific environments.
Antonia Saske is a project assistant in the Research Group for Visualization and Data Analysis at the University of Vienna, where she is pursuing a Master’s in Digital Humanities. Her research explores how public audiences read and make sense of data visualizations, focusing on the skills they use to interpret them. Her background in Cultural Anthropology (BA) informs her approach using qualitative evaluation methods to engage non-expert readers of visual data.
Reseach Group Visualization & Data Analysis
University of Vienna
Sensengasse 6, 1090 Vienna